DocumentCode
1751887
Title
Statistical approach to discrete-time chaotic systems: advanced tools for quantized chaotic trajectories
Author
Mazzini, Gianiuca ; Rovatti, Riccardo ; Setti, Gianluca
fYear
2001
fDate
2001
Abstract
Classical tools for statistical analysis of chaotic maps can be generalized to express any-order joint probability of the state and thus any-order correlation functions of the trajectories. When trajectories are quantized correlations can be naturally expressed as combinations of tensors. These expressions feature noteworthy properties when,. piecewise-affine Markov maps are considered. The class of (n,t)-tailed shifts spans the range of maps producing exponentially vanishing correlation and allows the derivation of an analytical expression for any-order quantized correlation functions
Keywords
Markov processes; chaos; correlation theory; discrete time systems; piecewise linear techniques; probability; statistical analysis; tensors; any-order joint probability; any-order quantized correlation functions; chaotic maps; discrete-time chaotic systems; exponentially vanishing correlation; piecewise-affine Markov maps; statistical analysis; tensors; trajectories; Chaos;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2001. Tutorial Guide: ISCAS 2001. The IEEE International Symposium on
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7113-5
Type
conf
DOI
10.1109/TUTCAS.2001.946974
Filename
946974
Link To Document